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Filip Petrasek (8912447), România H.C.DINAMO MANGALIA, România II.3
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Asa arata acum...sa vedem peste doua zile,dupa ce iese de la spalat cum va arata
Profilul jucătoruluiIstoria jucătoruluiStatistici detaliateProgresul antrenamentului
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Por Def Off Sho Pas Tec Agr Exp
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Asa arata acum...sa vedem peste doua zile,dupa ce iese de la spalat cum va arata
chiar daca e o barfa nu trebuia postata aici .. )
ma rog frumos, dar nu stiam unde sa-l postez... cata vreme n-am acces pe culoarele parlamentului! Scuze daca am deranjat...
Asa arata "Il fenomeno"
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Vârsta 15 Suma abilităţilor 283
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ce am descoperit pe un forum strain....o formula de calcul a energiei ramase
chinook72
Reacţie la: johndragon (25.04.2011 20:32:40)
I'd say it depends on the league. Our league has people spread between 95% and 80%. The ones at 80% are definitely having a lot more trouble in the past 5-10 games.
I created a spreadsheet to calculate the energy remaining for each team in the league. I copy the info contained in the League/Statistics/Team/Tactics panel and dump it into google docs. Then I have four formulas:
The Energy loss (Column R):
=-(I2*0.1/3)-(J2*0.25/3)-(K2*0 .5/3)-(L2*1/3)-(M2*1.5/3)
The number of lines played factor (Column S):
=(N2*1+O2*1.106+P2*1.212+Q2*1.318)/(N2+O2+P2+Q2)
The net energy loss (Column T):
=R2*S2
The remaining energy (Column U):
=100+T2
Now, it doesn't take the into account the following:
- Friendly games
- NC tournament games
- It assumes all lines are played for the same amount of minutes.
Looking at the energy has been a decent indicator as to which team will have a strong finish and which ones are just crashing.
chinook72
Reacţie la: johndragon (25.04.2011 20:32:40)
I'd say it depends on the league. Our league has people spread between 95% and 80%. The ones at 80% are definitely having a lot more trouble in the past 5-10 games.
I created a spreadsheet to calculate the energy remaining for each team in the league. I copy the info contained in the League/Statistics/Team/Tactics panel and dump it into google docs. Then I have four formulas:
The Energy loss (Column R):
=-(I2*0.1/3)-(J2*0.25/3)-(K2*0 .5/3)-(L2*1/3)-(M2*1.5/3)
The number of lines played factor (Column S):
=(N2*1+O2*1.106+P2*1.212+Q2*1.318)/(N2+O2+P2+Q2)
The net energy loss (Column T):
=R2*S2
The remaining energy (Column U):
=100+T2
Now, it doesn't take the into account the following:
- Friendly games
- NC tournament games
- It assumes all lines are played for the same amount of minutes.
Looking at the energy has been a decent indicator as to which team will have a strong finish and which ones are just crashing.
a energiei ramase adversarilor... caci pe a ta oricum o stii ... si oricum nu e foarte exacta, specifica la final ca nu a luat in calcul citeva tipuri de meciuri, si ca nu poate sti cite minute a jucat fiecare linie, asa ca nu prea e mare folos de pe urma ei, parerea mea...
Exista un astfel de excel creat la inceputul sezonului numai ca tine cont si de minutele jucate de fiecare jucator. S-a complicat mult prea mult cu aceste formule.
Ceva statistici pentru cei interesati:
Just for kicks, I ran some numbers against the Swiss league. Same criteria/formulas I ran against the Canadian data. Here are my findings:
10% OTS difference - 20% chance of upset
15% OTS difference - 16% chance of upset
20% OTS difference - 11% chance of upset
25% OTS difference - 8% chance of upset
50% OTS difference - 0% chance of upset. There literally were no upsets in the 19 matches that occurred where one team had double the OTS of the other team.
So Switzerland upsets are even less likely than in Canada. Must be the elevation.
I'm slowly accumulating data, so I'll post my overall findings after the end of this season.
Just for kicks, I ran some numbers against the Swiss league. Same criteria/formulas I ran against the Canadian data. Here are my findings:
10% OTS difference - 20% chance of upset
15% OTS difference - 16% chance of upset
20% OTS difference - 11% chance of upset
25% OTS difference - 8% chance of upset
50% OTS difference - 0% chance of upset. There literally were no upsets in the 19 matches that occurred where one team had double the OTS of the other team.
So Switzerland upsets are even less likely than in Canada. Must be the elevation.
I'm slowly accumulating data, so I'll post my overall findings after the end of this season.
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